An update-based step-wise optimal cache replacement for wireless data access

Many network applications requires access to most up-to-date information. An update event makes the corresponding cached data item obsolete, and cache hits due to obsolete data items become simply useless to those applications. Frequently accessed but infrequently updated data items should get higher preference while caching, and infrequently accessed but frequently updated items should have lower preference. Such items may not be cached at all or should be evicted from the cache to accommodate items with higher preference. In wireless networks, remote data access is typically more expensive than in wired networks. Hence, an efficient caching scheme considers both data access and update patterns can better reduce data transmissions in wireless networks. In this paper, we propose a step-wise optimal update-based replacement policy, called the Update-based Step-wise Optimal (USO) policy, for wireless data networks to optimize transmission cost by increasing effective hit ratio. Our cache replacement policy is based on the idea of giving preference to frequently accessed but infrequently updated data, and is supported by an analytical model with quantitative analysis. We also present results from our extensive simulations. We demonstrate that (1) the analytical model is validated by the simulation results and (2) the proposed scheme outperforms the Least Frequently Used (LFU) scheme in terms of effective hit ratio and communication cost.     

Fast and effective color-based object tracking by boosted color distribution

In this paper, we propose a novel tracking algorithm, boosted color distribution (BCD), for tracking color objects. There exist three contributions in this paper. First, we propose a novel online gentle boost (OGB) algorithm for online learning. The essential idea of OGB is composed of two aspects: online updating candidate weak classifiers, and then choosing and combining them in a boosting way. Second, we design a novel weak classifier, log color feature distribution ratio, which focuses on the difference of color distributions rather than individual samples and provides a simple yet effective manner of mining color features for object tracking. Third, by combining our OGB algorithm and our log color features, we develop a fast yet effective color-based object tracking algorithm. Numerous experiments demonstrate that our tracking algorithm is better than or not worse than some state-of-the-art tracking algorithms on some public sequences.Overall, this paper presents a novel BCD algorithm for color object tracking that achieves good results at a fast speed.     

网络数据库安全及加密技术

互联网的发展,给网络数据库数据的保密性、完整性和可用性带来了很大的威胁.本文总结了近些年数据库安全技术的发展过程,重点介绍了数据库加密技术的特点及新型的数据加密模式.     

微电子产品生产的职业危害及控制初探

随着人们生活水平的提高、生活节奏的加快以及生活环境的改善,微电子工业作为高新技术产业的代表,以作业环境清洁度高,工作速度快为优势,在我国各个行业的应用日益广泛但由于生产过程中使用各种化学物质,潜伏各种职业危害.本文通过调查微电子产品生产的工艺特,4、化学物质使用情况等,综述了各种职业病有害因素,如化学、物理及工效学因素的暴露和健康效应.本文对微电子产品生产的生产流程、职业病危害因素种类及现场检测的资料进行收集、整理与分析.了解到微电子产品生产过程中涉及的化学物质主要有:金属,毒气,腐蚀性物质,有机溶剂,光活性物质.各化学物质浓度虽都未超过职业接触限值.但个别物质如磷化氢、氯化氮、盐酸浓度与职业接触限值较为接近,进而使接触评定较难进行.微电子工业职业有关疾患患病情况高于一般电子工业和所有制造业,目前对生育系统危害调查居多.由此,微电子产品生产中的职业危害问题应予以重视,应积极采取有效的卫生防护和管理策略加以预防和控制.     

Polarization discrimination between repeater false-target and radar target

High fidelity repeater false-target badly affects a radar system’s detecting, tracking, and data processing. It is an available approach of confronting false-target for radar that discriminates firstly and then eliminates. Whereas for the technique progress about the repeater false-target jam, it is more and more difficult to discriminate this jam in the time-domain, frequency-domain, or space-domain. The technique using polarization information to discriminate the target and false-target is discussed in th...     

广义时滞系统的降维观测器设计

讨论广义时滞系统的降维观测器的设计方法．通过引入矩阵的广义逆矩阵,给出在一定条件下降维观测器的具体形式,然后分别利用广义逆矩阵及Lyapunov函数方法给出这些条件成立的具体条件及验证方法。最后给出一个例子来说明方法的有效性。     

采用动态邻域扩展算法的非一致CA低功耗确定TPG

针对确定内建自测试向量发生器设计中常存在着对冗余向量依赖,导致测试应用时间增长,并产生额外的测试功耗等问题,提出一种新的低功耗确定测试向量发生器的综合算法.该向量发生器采用非一致细胞自动机的结构实现,利用基于模拟退火的动态邻域扩展算法寻找优化的细胞自动机的拓扑连接关系.对标准组合电路仿真实验的结果表明,所综合出的向量发生器可有效地产生给定的低功耗确定向量集,并且不影响原有的故障覆盖率和测试时间.     

电梯的变频器控制软件与设计

在C/C+ +集成开发环境下采用DSP芯片TMS320F2811,开发基于面向对象技术的电梯专用变频器实时多任务软件系统.以一种层次化观点分析电梯变频器的功能需求,将软件设计层次化.同时,引入虚拟设备逻辑概念,极大提高软件的易扩展性和稳定性.所设计的电梯变频器软件系统已完成实验室开发阶段,样机系统投入现场实际测试运行.     

一种识别相似重复记录的模糊匹配方法

针对多数据源集成中存在的相似重复记录的问题,提出了一种基于用户兴趣度分组的模糊匹配识别方法。首先通过用户兴趣度方法来计算属性的权值,然后按照数据分组思想,选择权值大的属性将数据集分割成不相交的小数据集,最后在各小数据集中用模糊匹配算法进行相似重复记录的识别,为了提高识别效率,可选择余下权值大的属性进行多次分组和识别。理论和实践表明,该方法有较高的识别效率,能有效解决数据集成中相似重复记录的识别问题。     

T-S模糊系统的构造及其逼近能力的充分条件

针对任意多变量非线性函数, 至今缺少一种简单有效的构造性方法来建造一个T-S模糊系统对其实现给定精度的模糊逼近. 本文在逼近函数g(X)∈C2及g(X)不∈C2两种情况下给出了一种当模糊集满足均匀性、连续性、正规性条件下T-S模糊系统的构造方法以及该T-S模糊系统逼近能力的充分条件. 该构造性方法简单易行且其逼近能力充分条件的保守性低. 最后通过仿真研究证实了该方法的正确性与有效性.